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Impact of Standardized Heart Failure Management Center Construction on the Management of Patients With Chronic Heart Failure 规范化心力衰竭管理中心建设对慢性心力衰竭患者管理的影响
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-01-08 DOI: 10.1002/clc.70076
Xiaoxia Guo, Lele Jing, Changlin Zhai, Liang Shen, Huilin Hu

Background

Heart failure is extremely harmful to human health and social economics. The purpose of standardized heart failure management center (SHFMC) is to correct the non-standardization of heart failure treatment.

Hypothesis

SHFMC has a positive impact on the management and prognosis of patients with chronic heart failure (CHF).

Methods

The SHFMC database of Jiaxing First Hospital was retrospectively analyzed. Two hundred sixty-three patients with CHF who were hospitalized in the cardiovascular medicine department of Jiaxing First Hospital in Zhejiang Province from January 2020 to December 2020 were identified as study subjects. The SHFMC opening day, July 1, 2020, was used as the dividing line around which the patients were divided into Group A (before the completion of SHFMC, n = 137) and Group B (after, n = 126). The baseline data, treatment standardization, long-term efficacy, 1-year all-cause mortality, and readmission rate of the two groups were compared.

Results

The use of angiotensin receptor enkephalinase inhibitors (ARNIs), β-blockers (β-Bs), and sodium-glucose cotransport protein 2 inhibitors (SGLT2is) increased significantly, and the long-term outcome, readmission rate, and 1-year all-cause mortality of patients improved in group B.

Conclusions

The construction of SHFMC has been associated with consistent improvements in the standardization of CHF treatment, long-term patient outcomes, 1-year cumulative survival rates, and readmission rates.

背景:心力衰竭对人类健康和社会经济危害极大。心衰规范化管理中心(SHFMC)的目的是纠正心衰治疗的不规范化。假设:SHFMC对慢性心力衰竭(CHF)患者的管理和预后有积极影响。方法:回顾性分析嘉兴市第一医院SHFMC数据库。选择2020年1月至2020年12月在浙江省嘉兴市第一医院心血管内科住院的263例CHF患者作为研究对象。以2020年7月1日SHFMC开业日为分界线,将患者分为A组(SHFMC完成前,n = 137)和B组(SHFMC完成后,n = 126)。比较两组患者的基线资料、治疗标准化、长期疗效、1年全因死亡率、再入院率。结果:b组血管紧张素受体脑啡肽酶抑制剂(ARNIs)、β-阻滞剂(β-Bs)和钠-葡萄糖共转运蛋白2抑制剂(SGLT2is)的使用显著增加,患者的长期预后、再入院率和1年全因死亡率均有改善。SHFMC的建立与CHF治疗标准化、长期患者预后、1年累积生存率和再入院率的持续改善有关。
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引用次数: 0
Unmasking the Hidden Threat: The Role of Left Ventricular Subendocardial Involvement in Autoimmune Rheumatic Disease 揭露隐藏的威胁:左心室心内膜下受累在自身免疫性风湿病中的作用
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-01-01 DOI: 10.1002/clc.70069
Danni Wu, Xiao Li, Tianchen Guo, Xiaojin Feng, Xinhao Li, Yining Wang, Wei Chen

Background

Late gadolinium enhancement (LGE) has been found in patients with autoimmune rheumatic disease (ARD). However, the prognostic implications of some specific LGE patterns in ARD patients remain unclear.

Purpose

To investigate the prevalence and prognostic significance of left ventricular (LV) subendocardium-involved LGE (LGEse) in a cohort of ARD patients.

Materials and Methods

This retrospective study evaluated 176 patients diagnosed with ARD with clinically suspected cardiac involvement between 2018 and 2023. LV LGEse was defined as LGE involving the LV subendocardium that did not correspond to a coronary vascular distribution. The endpoints included a composite of cardiac death, heart failure-related admission, cardiogenic shock, and appropriate pacemaker or implantable cardioverter-defibrillator therapy.

Results

Of the 176 consecutive patients, LV LGEse was observed in 22 patients (13%). During a median follow-up of 776 days (interquartile range, 395–1405 days), 20 patients (11%) experienced a composite endpoint. Compared with those without LV LGEse, the LV LGEse group had a greater proportion of men (64% vs. 14%; p < 0.001), lower LV ejection fraction (50% vs. 60%; p = 0.001), greater LV end-diastolic volume index (78 vs. 75; p = 0.043), and more adverse outcomes (32% vs. 8%; p = 0.005). In the univariable and multivariable Cox regression analyses, the LV LGEse showed independent prognostic value. In the sensitivity analyses, the prognostic difference in terms of LV subendocardial involvement remained.

Conclusion

In our cohort, LV subendocardial involvement, an underrecognized LGE pattern, was observed in 13% of all patients with autoimmune disease and indicated a worse prognosis.

背景:晚期钆增强(LGE)已在自身免疫性风湿病(ARD)患者中发现。然而,一些特定的LGE模式对ARD患者的预后影响尚不清楚。目的:探讨左心室(LV)心内膜下受累LGE (LGEse)在ARD患者队列中的患病率及预后意义。材料和方法:本回顾性研究评估了2018年至2023年间176例临床怀疑心脏受累的ARD患者。左室LGE被定义为累及左室心内膜下且不符合冠状动脉血管分布的LGE。终点包括心源性死亡、心力衰竭相关入院、心源性休克和适当的起搏器或植入式心律转复除颤器治疗。结果:在176例连续患者中,22例(13%)患者出现LV - LGEse。在中位随访776天(四分位数范围395-1405天)期间,20名患者(11%)经历了复合终点。与没有LV LGEse的患者相比,LV LGEse组男性比例更高(64% vs. 14%;p结论:在我们的队列中,13%的自身免疫性疾病患者观察到左室心内膜下受累,这是一种未被认识到的LGE模式,预示着更差的预后。
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引用次数: 0
Is There an Association Between Living in a Rural Area and the Incidence of Postoperative Complications or Hospital Readmissions Following Left Ventricular Assist Device (LVAD) Implantation, Compared to Urban Lvad Recipients? A Systematic Review 与城市LVAD接受者相比,生活在农村地区与左心室辅助装置(LVAD)植入术后并发症或再入院发生率之间是否存在关联?系统评价。
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-01-01 DOI: 10.1002/clc.70068
Samrat Gollapudi, Abhiram Gollapudi, Sri Banala, Sheraj Singh, Kiran Tadi

Background

Left ventricular assist devices (LVADs) are utilized as a therapeutic option for patients with end-stage heart failure. While LVAD implantation can enhance survival rates and quality of life, the procedure has its risks, and postoperative complications are common. This review aims to investigate whether there is an association between living in a rural area and the incidence of postoperative complications or hospital readmissions following LVAD implantation, compared to urban LVAD recipients.

Methods

A comprehensive literature review examined studies that compared postoperative outcomes between rural and urban LVAD recipients. Data on adverse events, hospitalizations, and mortality rates were extracted, focusing on the impact of geographic location on these outcomes.

Results

The review found that rural LVAD recipients may be at a higher risk for certain complications, including gastrointestinal bleeding, ventricular arrhythmias, LVAD complications, and stroke. Rural patients also exhibited higher instances of emergency department visits and hospital readmissions. Despite these challenges, survival rates and heart transplantation outcomes at 1 year were similar between rural and urban recipients. However, rural patients exhibited a higher driveline infection rate at 1 year.

Conclusion

The findings of this review suggest that rural residency may be associated with an increased risk of certain postoperative complications and hospital readmissions following LVAD implantation. These results highlight the need for healthcare strategies to address the challenges faced by rural LVAD recipients. Further research is necessary to understand the relationship between geographic location and LVAD outcomes and to develop interventions that can improve postoperative care for this vulnerable population.

背景:左心室辅助装置(lvad)被用作终末期心力衰竭患者的治疗选择。虽然LVAD植入可以提高生存率和生活质量,但该手术有其风险,术后并发症很常见。本综述旨在探讨与城市LVAD受者相比,生活在农村地区与LVAD植入术后并发症或再入院发生率之间是否存在关联。方法:综合文献综述,比较农村和城市LVAD受者的术后结果。提取有关不良事件、住院和死亡率的数据,重点关注地理位置对这些结果的影响。结果:该综述发现,农村LVAD受者发生某些并发症的风险可能更高,包括胃肠道出血、室性心律失常、LVAD并发症和中风。农村患者也表现出更高的急诊科就诊和再入院率。尽管存在这些挑战,但农村和城市受者的1年生存率和心脏移植结果相似。然而,农村患者在1年时表现出较高的传动系统感染率。结论:本综述的研究结果表明,农村居民可能与LVAD植入后某些术后并发症和再入院风险增加有关。这些结果突出了医疗保健战略的需要,以解决农村LVAD接受者面临的挑战。进一步的研究是必要的,以了解地理位置和LVAD预后之间的关系,并制定干预措施,以改善对这一弱势群体的术后护理。
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引用次数: 0
Letter Regarding “Outcomes of Bolus Dose Furosemide Versus Continuous Infusion in Patients With Acute Decompensated Left Ventricular Failure and Atrial Fibrillation” 致编辑的信:对[急性失代偿性左心室衰竭和心房颤动患者的快速剂量与持续输注呋塞米的结果]的更正。
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-26 DOI: 10.1002/clc.70072
Ahmed M. Gazer, Elsayed Hammad

We read with interest the recent publication by Khan et al. [1] in Clinical Cardiology titled “Outcomes of Bolus Dose Furosemide Versus Continuous Infusion in Patients With Acute Decompensated Left Ventricular Failure and Atrial Fibrillation”. While the article provides valuable insights into different furosemide strategies in managing patients with acute decompensated heart failure, we noticed an error in Table 1, which presents the baseline patient characteristics. Specifically, the reported patient population underwent a sudden and significant reduction in the arms of the study; for example, an initial cohort of 479 patients reduced or reported to only 14 patients in the T1 arm (intravenous bolus infusion in the table). This error has the potential to misinterpret the results and conclusions of the study.

We believe these clarifications are essential for readers to fully comprehend the validity and applicability of the study's findings.

We kindly request the authors and the journal to rectify this error promptly. A corrected version of Table 1 should be published to ensure accurate interpretation of the study findings.

The authors declare no conflicts of interest.

我们最近非常感兴趣地回顾了[khan等人]在《临床心脏病学》上发表的题为“急性失代偿性左心衰和房颤患者的快速注射剂量与持续输注速尿的结果”的文章(1)。这项研究涉及临床实践的一个关键领域,我们感谢作者在探索这一主题方面所做的努力。然而,在我们的回顾中,我们观察到一些需要澄清的地方,以便更好地理解所提出的发现:表1中的患者人数在研究论文中:报告的患者人数突然显著减少。这一差异在研究中没有得到充分解释。
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引用次数: 0
Predictive Value of Machine Learning for the Risk of In-Hospital Death in Patients With Heart Failure: A Systematic Review and Meta-Analysis 机器学习对心力衰竭患者住院死亡风险的预测价值:系统回顾和荟萃分析
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-26 DOI: 10.1002/clc.70071
Liyuan Yan, Jinlong Zhang, Le Chen, Zongcheng Zhu, Xiaodong Sheng, Guanqun Zheng, Jiamin Yuan

Background

The efficiency of machine learning (ML) based predictive models in predicting in-hospital mortality for heart failure (HF) patients is a topic of debate. In this context, this study's objective is to conduct a meta-analysis to compare and assess existing prognostic models designed for predicting in-hospital mortality in HF patients.

Methods

A systematic search of databases was conducted, including PubMed, Embase, Web of Science, and Cochrane Library up to January 2023. To ensure comprehensiveness, we performed an additional search in June 2023. The Prediction Model Risk of Bias Assessment Tool was employed to assess the validity and reliability of ML models.

Results

Our analysis incorporated 28 studies involving a total of 106 predictive models based on 14 different ML techniques. In the training data set, these models showed a combined C-index of 0.781, sensitivity of 0.56, and specificity of 0.94. In the validation data set, the models exhibited a combined C-index of 0.758, sensitivity of 0.57, and specificity of 0.84. Logistic regression (LR) was the most frequently used ML algorithm. LR models in the training set had a combined C-index of 0.795, sensitivity of 0.63, and specificity of 0.85, and these measures for LR models in the validation set were 0.751, 0.66, and 0.79, respectively.

Conclusions

Our study indicates that although ML is increasingly being leveraged to predict in-hospital mortality for HF patients, the predictive performance remains suboptimal. Although these models have relatively high C-index and specificity, their ability to predict positive events is limited, as indicated by their low sensitivity.

背景:基于机器学习(ML)的预测模型在预测心力衰竭(HF)患者住院死亡率方面的效率是一个有争议的话题。在此背景下,本研究的目的是进行荟萃分析,比较和评估用于预测心衰患者住院死亡率的现有预后模型。方法:系统检索截至2023年1月的PubMed、Embase、Web of Science、Cochrane Library等数据库。为了确保全面性,我们在2023年6月进行了额外的搜索。采用预测模型偏倚风险评估工具评估ML模型的效度和信度。结果:我们的分析纳入了28项研究,涉及基于14种不同ML技术的106个预测模型。在训练数据集中,这些模型的综合c指数为0.781,敏感性为0.56,特异性为0.94。在验证数据集中,模型的综合c指数为0.758,敏感性为0.57,特异性为0.84。逻辑回归(LR)是最常用的ML算法。训练集LR模型的综合c指数为0.795,敏感性为0.63,特异性为0.85,验证集LR模型的综合c指数分别为0.751、0.66和0.79。结论:我们的研究表明,尽管ML越来越多地被用于预测心衰患者的住院死亡率,但预测效果仍然不理想。虽然这些模型具有较高的c指数和特异性,但它们预测阳性事件的能力有限,这表明它们的敏感性较低。
{"title":"Predictive Value of Machine Learning for the Risk of In-Hospital Death in Patients With Heart Failure: A Systematic Review and Meta-Analysis","authors":"Liyuan Yan,&nbsp;Jinlong Zhang,&nbsp;Le Chen,&nbsp;Zongcheng Zhu,&nbsp;Xiaodong Sheng,&nbsp;Guanqun Zheng,&nbsp;Jiamin Yuan","doi":"10.1002/clc.70071","DOIUrl":"10.1002/clc.70071","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The efficiency of machine learning (ML) based predictive models in predicting in-hospital mortality for heart failure (HF) patients is a topic of debate. In this context, this study's objective is to conduct a meta-analysis to compare and assess existing prognostic models designed for predicting in-hospital mortality in HF patients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A systematic search of databases was conducted, including PubMed, Embase, Web of Science, and Cochrane Library up to January 2023. To ensure comprehensiveness, we performed an additional search in June 2023. The Prediction Model Risk of Bias Assessment Tool was employed to assess the validity and reliability of ML models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our analysis incorporated 28 studies involving a total of 106 predictive models based on 14 different ML techniques. In the training data set, these models showed a combined C-index of 0.781, sensitivity of 0.56, and specificity of 0.94. In the validation data set, the models exhibited a combined C-index of 0.758, sensitivity of 0.57, and specificity of 0.84. Logistic regression (LR) was the most frequently used ML algorithm. LR models in the training set had a combined C-index of 0.795, sensitivity of 0.63, and specificity of 0.85, and these measures for LR models in the validation set were 0.751, 0.66, and 0.79, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our study indicates that although ML is increasingly being leveraged to predict in-hospital mortality for HF patients, the predictive performance remains suboptimal. Although these models have relatively high C-index and specificity, their ability to predict positive events is limited, as indicated by their low sensitivity.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10201,"journal":{"name":"Clinical Cardiology","volume":"48 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11670054/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142892566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Digital Devices for Arrhythmia Detection: What Is Still Missing? 心律失常检测的数字设备:还缺少什么?
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-23 DOI: 10.1002/clc.70074
Naoya Kataoka, Teruhiko Imamura

Various digital devices have been developed to detect atrial fibrillation (AF). Manninger and colleagues demonstrated that intermittent electrocardiogram (ECG)-based digital devices are increasingly being integrated into clinical practice, whereas photoplethysmography (PPG)-based devices are less commonly utilized for the diagnosis and screening of AF [1].

In the three proposed clinical scenarios—(1) symptomatic low-risk patients, (2) asymptomatic high-risk patients, and (3) symptomatic high-risk patients—many clinicians demonstrated a preference for diagnostic tools other than PPG-based devices [1]. The authors highlighted this trend and emphasized the need for enhanced education regarding novel PPG-based digital technologies. However, ECG-based tools, which provide greater diagnostic accuracy than PPG-based devices, may be more suitable in scenarios (1) and (3), where patients already exhibit clear symptoms of AF.

The debate over the type of device (PPG-based vs. ECG-based) may not be the most critical issue at present. While PPG-based devices demonstrate high accuracy in AF screening [2], the duration of arrhythmia monitoring is arguably more significant. Devices that impose minimal burden on patients are likely to be preferred for prolonged monitoring.

The clinical implications of aggressive intervention for AF detected by wearable devices remain uncertain. The prevalence of AF in the general population is quite low (approximately 1%) [2], and among those diagnosed, only 30% experience adverse outcomes such as thromboembolism or heart failure. Consequently, the number needed to treat to achieve a meaningful clinical benefit from wearable devices is exceptionally high [3]. Therefore, optimizing patient selection for the implementation of PPG-based devices warrants greater consideration.

The authors have nothing to report.

The authors declare no conflicts of interest.

{"title":"Digital Devices for Arrhythmia Detection: What Is Still Missing?","authors":"Naoya Kataoka,&nbsp;Teruhiko Imamura","doi":"10.1002/clc.70074","DOIUrl":"10.1002/clc.70074","url":null,"abstract":"<p>Various digital devices have been developed to detect atrial fibrillation (AF). Manninger and colleagues demonstrated that intermittent electrocardiogram (ECG)-based digital devices are increasingly being integrated into clinical practice, whereas photoplethysmography (PPG)-based devices are less commonly utilized for the diagnosis and screening of AF [<span>1</span>].</p><p>In the three proposed clinical scenarios—(1) symptomatic low-risk patients, (2) asymptomatic high-risk patients, and (3) symptomatic high-risk patients—many clinicians demonstrated a preference for diagnostic tools other than PPG-based devices [<span>1</span>]. The authors highlighted this trend and emphasized the need for enhanced education regarding novel PPG-based digital technologies. However, ECG-based tools, which provide greater diagnostic accuracy than PPG-based devices, may be more suitable in scenarios (1) and (3), where patients already exhibit clear symptoms of AF.</p><p>The debate over the type of device (PPG-based vs. ECG-based) may not be the most critical issue at present. While PPG-based devices demonstrate high accuracy in AF screening [<span>2</span>], the duration of arrhythmia monitoring is arguably more significant. Devices that impose minimal burden on patients are likely to be preferred for prolonged monitoring.</p><p>The clinical implications of aggressive intervention for AF detected by wearable devices remain uncertain. The prevalence of AF in the general population is quite low (approximately 1%) [<span>2</span>], and among those diagnosed, only 30% experience adverse outcomes such as thromboembolism or heart failure. Consequently, the number needed to treat to achieve a meaningful clinical benefit from wearable devices is exceptionally high [<span>3</span>]. Therefore, optimizing patient selection for the implementation of PPG-based devices warrants greater consideration.</p><p>The authors have nothing to report.</p><p>The authors declare no conflicts of interest.</p>","PeriodicalId":10201,"journal":{"name":"Clinical Cardiology","volume":"48 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664457/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142876331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Heart Failure Is Closely Associated With the Expression Characteristics of Type I Interferon-Related Genes 心衰与I型干扰素相关基因的表达特征密切相关
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-20 DOI: 10.1002/clc.70063
Jianfeng Zhuo, Yan Zhong, Xiaojuan Luo, Sijie Qiu, Xinmei Li, Yunyu Liang, Yu Wu, Xiyu Zhang

Background

The association between the expression of type I interferon related genes (TIIRGs) and EFrHF is not well understood. This study aimed to investigate the correlation between the expression patterns of TIIRGs and EFrHF using bioinformatics analysis.

Materials and Methods

An analysis was conducted to examine the expression and distribution of TIIRGs in cardiomyocytes. Afterwards, GSE5406 was utilized as the validation set, including 16 without heart failure, 86 with idiopathic dilated cardiomyopathy (IDCM), and 108 individuals with ischemic cardiomyopathy (ICM). We conducted a comparative analysis of the variations in TIIRGs gene expression across various forms of heart failure.

Results

There were eight genes that showed substantial changes between patients with EFrHF and those without heart failure. A risk model for EFrHF was developed utilizing JAK1 and EIF2AK2, with an area under the curve (AUC) of 0.909. Five genes exhibited notable disparities between IDCM and ICM. Through multivariate analysis, it was shown that JAK1 and IFNA16/IFNA14 were identified as independent risk variables for distinguishing between the two pathogenic categories. The model, utilizing JAK1 and IFNA16/IFNA14, successfully differentiated between IDCM and ICM with an area under the curve (AUC) of 0.722. In the validation set GSE5406, the expression of JAK1 was dramatically downregulated, while EIF2AK2 was significantly upregulated in heart failure (HF) tissues. The model utilizing JAK1 and EIF2AK2 successfully differentiated between those with an illness and those without (AUC = 0.877).

Conclusions

The expression of TIIRGs is strongly associated with the presence and specific subtypes of HF in a pathological context.

背景:I型干扰素相关基因(TIIRGs)的表达与EFrHF之间的关系尚不清楚。本研究旨在通过生物信息学分析探讨TIIRGs表达模式与EFrHF的相关性。材料和方法:通过分析心肌细胞中TIIRGs的表达和分布。随后,以GSE5406作为验证集,其中无心力衰竭16例,特发性扩张型心肌病(IDCM) 86例,缺血性心肌病(ICM) 108例。我们对TIIRGs基因在不同形式心力衰竭中的表达变化进行了比较分析。结果:有8个基因在EFrHF患者和非心力衰竭患者之间表现出实质性的变化。利用JAK1和EIF2AK2建立EFrHF风险模型,曲线下面积(AUC)为0.909。5个基因在IDCM和ICM之间表现出显著差异。通过多因素分析,发现JAK1和IFNA16/IFNA14是区分两种致病类型的独立危险变量。该模型利用JAK1和IFNA16/IFNA14成功区分了IDCM和ICM,曲线下面积(AUC)为0.722。在验证集GSE5406中,在心力衰竭(HF)组织中,JAK1的表达显著下调,而EIF2AK2的表达显著上调。利用JAK1和EIF2AK2的模型成功地区分了患有疾病和没有疾病的人(AUC = 0.877)。结论:在病理背景下,TIIRGs的表达与HF的存在和特定亚型密切相关。
{"title":"Heart Failure Is Closely Associated With the Expression Characteristics of Type I Interferon-Related Genes","authors":"Jianfeng Zhuo,&nbsp;Yan Zhong,&nbsp;Xiaojuan Luo,&nbsp;Sijie Qiu,&nbsp;Xinmei Li,&nbsp;Yunyu Liang,&nbsp;Yu Wu,&nbsp;Xiyu Zhang","doi":"10.1002/clc.70063","DOIUrl":"10.1002/clc.70063","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The association between the expression of type I interferon related genes (TIIRGs) and EFrHF is not well understood. This study aimed to investigate the correlation between the expression patterns of TIIRGs and EFrHF using bioinformatics analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>An analysis was conducted to examine the expression and distribution of TIIRGs in cardiomyocytes. Afterwards, GSE5406 was utilized as the validation set, including 16 without heart failure, 86 with idiopathic dilated cardiomyopathy (IDCM), and 108 individuals with ischemic cardiomyopathy (ICM). We conducted a comparative analysis of the variations in TIIRGs gene expression across various forms of heart failure.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>There were eight genes that showed substantial changes between patients with EFrHF and those without heart failure. A risk model for EFrHF was developed utilizing JAK1 and EIF2AK2, with an area under the curve (AUC) of 0.909. Five genes exhibited notable disparities between IDCM and ICM. Through multivariate analysis, it was shown that JAK1 and IFNA16/IFNA14 were identified as independent risk variables for distinguishing between the two pathogenic categories. The model, utilizing JAK1 and IFNA16/IFNA14, successfully differentiated between IDCM and ICM with an area under the curve (AUC) of 0.722. In the validation set GSE5406, the expression of JAK1 was dramatically downregulated, while EIF2AK2 was significantly upregulated in heart failure (HF) tissues. The model utilizing JAK1 and EIF2AK2 successfully differentiated between those with an illness and those without (AUC = 0.877).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The expression of TIIRGs is strongly associated with the presence and specific subtypes of HF in a pathological context.</p>\u0000 </section>\u0000 </div>","PeriodicalId":10201,"journal":{"name":"Clinical Cardiology","volume":"48 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11659751/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142863523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stratification of Early Arrhythmic Risk in Patients Admitted for Acute Coronary Syndrome: The Role of the Machine Learning-Derived “PRAISE Score” 急性冠脉综合征患者早期心律失常风险的分层:机器学习衍生的“PRAISE评分”的作用。
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-19 DOI: 10.1002/clc.70035
Luca Cumitini, Ailia Giubertoni, Lidia Rossi, Domenico D'Amario, Leonardo Grisafi, Paola Abbiati, Fabrizio D'Ascenzo, Gaetano Maria De Ferrari, Giuseppe Patti

Background

The PRAISE (PRedicting with Artificial Intelligence riSk aftEr acute coronary syndrome) score is a machine learning-based model for predicting 1-year adverse cardiovascular or bleeding events in patients with acute coronary syndrome (ACS). Its role in predicting arrhythmic complications in ACS remains unknown.

Methods

Atrial fibrillation (AF) and ventricular arrhythmias (VA) were recorded by continuous electrocardiographic monitoring until discharge in a cohort of 365 participants with ACS prospectively enrolled. We considered two separate timeframes for VA occurrence: ≤ 48 and > 48 h. The objective was to evaluate the ability of the PRAISE score to identify ACS patients at higher risk of in-hospital arrhythmic complications.

Results

ROC curve analysis indicated a significant association between PRAISE score and risk of both AF (AUC 0.89, p = 0.0001; optimal cut-off 5.77%) and VA (AUC 0.69, p = 0.0001; optimal cut-off 2.17%). Based on these thresholds, high/low AF PRAISE score groups and high/low VA PRAISE score groups were created, respectively. Patients with a high AF PRAISE score more frequently developed in-hospital AF (19% vs. 1%). Multivariate analysis showed a high AF PRAISE score risk as an independent predictor of AF (HR 4.30, p = 0.016). Patients with high VA PRAISE scores more frequently developed in-hospital VA (25% vs. 8% for VA ≤ 48 h; 33% vs. 3% for VA > 48 h). Multivariate analysis demonstrated a high VA PRAISE score risk as an independent predictor of both VA ≤ 48 h (HR 2.48, p = 0.032) and VA > 48 h (HR 4.93, p = 0.014).

Conclusion

The PRAISE score has a comprehensive ability to identify with high specificity those patients at risk for arrhythmic events during hospitalization for ACS.

背景:PRAISE(人工智能预测急性冠脉综合征后风险)评分是一种基于机器学习的模型,用于预测急性冠脉综合征(ACS)患者1年内的不良心血管或出血事件。它在预测ACS的心律失常并发症中的作用尚不清楚。方法:前瞻性纳入365例ACS患者,通过连续心电图监测记录房颤(AF)和室性心律失常(VA)直至出院。我们考虑了两个独立的VA发生时间框架:≤48小时和bb0 48小时。目的是评估PRAISE评分识别院内心律失常并发症高风险ACS患者的能力。结果:ROC曲线分析显示,PRAISE评分与两种AF的风险均有显著相关性(AUC 0.89, p = 0.0001;最佳临界值5.77%)和VA (AUC 0.69, p = 0.0001;最佳截止点2.17%)。根据这些阈值,分别创建高/低AF PRAISE评分组和高/低VA PRAISE评分组。房颤PRAISE评分高的患者更容易发生院内房颤(19%对1%)。多因素分析显示,高AF PRAISE评分风险是AF的独立预测因子(HR 4.30, p = 0.016)。VA PRAISE评分高的患者更容易发生院内VA (25% vs. VA≤48 h的患者为8%;33% vs. 3% VA bb0(48小时)。多因素分析表明,VA PRAISE评分高的风险是VA≤48 h (HR 2.48, p = 0.032)和VA bb0 48 h (HR 4.93, p = 0.014)的独立预测因子。结论:PRAISE评分对ACS住院期间存在心律失常风险的患者具有综合、高特异性的识别能力。
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引用次数: 0
Safety and Efficacy of Two Ultrathin Biodegradable Polymer Sirolimus-Eluting Stents in Real-World Practice: Genoss DES Stents Versus Orsiro Stents From a Prospective Registry 两种超薄可生物降解聚合物西罗莫司洗脱支架在现实世界实践中的安全性和有效性:geness DES支架与Orsiro支架的前瞻性注册
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-18 DOI: 10.1002/clc.70060
Ho Sung Jeon, Young Jin Youn, Jung-Hee Lee, Young Jun Park, Jung-Woo Son, Jun-Won Lee, Min-Soo Ahn, Sung Gyun Ahn, Jang-Young Kim, Byung-Su Yoo, Junghan Yoon

Background

The Orsiro and Genoss DES stents are biodegradable polymer drug-eluting stents (DESs) with ultrathin struts.

Objective

To investigate the safety and efficacy of these two ultrathin DESs in real-world practice.

Methods

From a single-center prospective registry, we included 751 and 931 patients treated with the Genoss DES and Orsiro stents, respectively. After propensity score matching, we compared 483 patients in each group with respect to a device-oriented composite outcome (DOCO), which comprised cardiac death, target vessel myocardial infarction, and clinically indicated target lesion revascularization up to 2 follow-up years.

Results

After propensity score matching, there were no significant between-group differences in clinical and angiographic characteristics. During the median follow-up period of 730 days (interquartile range, 427–730 days), there was no significant between-group difference in the DOCO rate (3.1% in the Genoss DES group vs. 2.9% in the Orsiro group, log-rank p = 0.847).

Conclusions

This study demonstrated comparable safety and efficacy between the Orsiro and Genoss DES stents during a 2-year follow-up period in real-world practice. However, this result should be confirmed in a large randomized controlled trial.

Trial Registration

ClinicalTrials.gov Identifier: NCT02038127.

背景:Orsiro和geness DES支架是具有超薄支架的可生物降解聚合物药物洗脱支架(DESs)。目的:探讨两种超薄DESs在实际应用中的安全性和有效性。方法:从单中心前瞻性登记中,我们分别纳入了751例和931例接受geness DES和Orsiro支架治疗的患者。在倾向评分匹配后,我们比较了每组483例患者的器械导向复合结局(DOCO),包括心脏性死亡、靶血管心肌梗死和临床指示的靶病变血运重建术,随访时间长达2年。结果:倾向评分匹配后,两组患者的临床和血管造影特征无显著差异。在中位随访期730天(四分位间距427-730天),DOCO率组间无显著差异(geness DES组3.1% vs Orsiro组2.9%,log-rank p = 0.847)。结论:该研究在现实世界实践的2年随访期间证明Orsiro和geness DES支架的安全性和有效性相当。然而,这一结果需要在大型随机对照试验中得到证实。试验注册:ClinicalTrials.gov标识符:NCT02038127。
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引用次数: 0
Anticoagulation Monitoring During ECMO Support: Monitor or Flip a Coin? ECMO支持期间的抗凝监测:监测还是抛硬币?
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-18 DOI: 10.1002/clc.70061
Sasa Rajsic, Benedikt Treml

Should we rely on anticoagulation monitoring in ECMO patients or simply flip a coin? The increasing use of anti-factor Xa activity to monitor the effect of UFH appears appropriate, given its moderate correlation with the UFH infusion rates, and it may play a role in preventing thromboembolic events. However, to avoid bleeding complications, more sophisticated tools, and careful clinical decision-making remain essential.

我们应该依靠ECMO患者的抗凝监测还是简单地抛硬币?越来越多地使用抗Xa因子活性来监测UFH的效果似乎是合适的,因为它与UFH输注率有适度的相关性,并且它可能在预防血栓栓塞事件中发挥作用。然而,为了避免出血并发症,更复杂的工具和谨慎的临床决策仍然是必不可少的。
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引用次数: 0
期刊
Clinical Cardiology
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